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Automatic object extraction using object based image classification technique from high resolution remotely sensed images

Published: 26 February 2010 Publication History

Abstract

Looking at the expected technical improvements as to the spatial and spectral resolution, satellite imagery could more and more provide a basis for complex information systems for recognizing and extracting even small-scale and short-term structural features of interests within nuclear facilities. The analysis of large volumes of multisensor satellite data will then definitely require a high degree of automation for processing, analysis and interpretation in order to extract the features of interest. Against this background, the present paper focuses on the automated extraction of various objects like Waterbodies, Roads, Buildings etc in high resolution remotely sensed images using Definiens eCognition software.

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Cited By

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  • (2017)Soft Computing Techniques for Land Use and Land Cover Monitoring with Multispectral Remote Sensing Images: A ReviewArchives of Computational Methods in Engineering10.1007/s11831-017-9239-yOnline publication date: 10-Jul-2017

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  1. Automatic object extraction using object based image classification technique from high resolution remotely sensed images

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      cover image ACM Other conferences
      ICWET '10: Proceedings of the International Conference and Workshop on Emerging Trends in Technology
      February 2010
      1070 pages
      ISBN:9781605588124
      DOI:10.1145/1741906
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      • UNITECH: Unitech Engineers, India
      • AICTE: All India Council for Technical Education

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 26 February 2010

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      Author Tags

      1. eCognition
      2. object based classification
      3. object extraction

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      • AICTE

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      • (2017)Soft Computing Techniques for Land Use and Land Cover Monitoring with Multispectral Remote Sensing Images: A ReviewArchives of Computational Methods in Engineering10.1007/s11831-017-9239-yOnline publication date: 10-Jul-2017

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